Let $a\in\mathbb R^+$ and $X\sim\mathcal N(0,1)$.
I want to prove that $$\mathbb E[X | X\ge a] = \frac{\int_a^\infty x\cdot e^{-x^2/2}dx}{\int_a^\infty e^{-x^2/2}dx}\le a + \sqrt{2/\pi}.$$
Any ideas/directions?
Playing with it in Wolfram Alpha, it seems that the inequality hold, with equality for $a=0$.
Here is a proof based on know asymptotics for $P[X>a]$ as $a\rightarrow\infty$ to establish the validity of the statement for large $a$, and then, using differential Calculus to establish the validity of the statement for all $a\geq0$.
Proof of Theorem F: This can be obtained by integrating the inequalities $$(1-3x^{-4})\phi(x)\leq \phi(x)\leq (1+x^{-2})\phi(x)$$ over $[a,\infty)$. See Feller, Introduction to Probability, Vol 1, 1968, section 7.1.
A simple substitution $u=x^2/2$ yields $$\int^\infty_ax\phi(x)\,dx = \frac{1}{\sqrt{2\pi}}e^{-a^2/2}=\phi(a)$$
Hence, for $a>1$ $$ a\leq\frac{\phi(a)}{1-F(a)}\leq a+\frac{a}{a^2-1} $$ Thus, the stamens is valid for all $a$ large enough.
Now consider the function $$G(a)=\phi(a)-(a+c)\bar{F}(a),\qquad\text{where}\quad \bar{F}(a)=1-F(a),\quad c=\sqrt{2/\pi}$$ $G(0)=0$ as $c=2\phi(0)$, and $G(\infty):=\lim_{a\rightarrow\infty}G(a)=0$ as $\phi(a)\xrightarrow{a\rightarrow\infty}0$ and $a\bar{F}(a)\xrightarrow{a\rightarrow\infty}0$ (by Markov-Chebyshev's inequality for example). $$\begin{align} G'(a)&=c\phi(a)-\bar{F}(a)\\ G''(a)&=(1-ac)\phi(a) \end{align}$$ There is only one inflection point, namely $a_*=c^{-1}=\sqrt{\pi/2}$; moreover, it follows easily that $G$ is convex on $(-\infty,a_*]$, and concave on $[a_*,\infty)$. Since $G'(0)=\frac{1}{\pi}-\frac12<0$, $G$ is strictly monotone decreasing in an interval containing $a=0$. This, along with the facts that $G'(\infty)=0$ and that $G(a)<0$ for all $a$ large enough, implies that $G$ cannot take positive values on $[0,\infty)$ (otherwise there would be more than one inflection points) and so, $G(a)< 0$ for all $a>0$.
Here is a graph of $G$ in the interval $[0,5]$.